Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 1.1 * weight - 53
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAGER Christian | 60 |
| 3 | TANOVIȚCHII Nicolae | 73 |
| 4 | RAILEANU Cristian | 63 |
| 6 | VERMEULEN Moran | 67 |
| 9 | VALTER Attila | 65 |
| 10 | PÖLL Stefan | 60 |
| 14 | BUDYAK Anatoliy | 53 |
| 15 | JOVANOVIĆ Nebojša | 60 |
| 38 | OCHSENHOFER Peter | 88 |
| 42 | HOPFGARTNER Paul | 63 |
| 43 | KLISURIĆ Stevan | 70 |
| 55 | ILIĆ Ognjen | 86 |